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2019 Project-Team Activity Report
AIRSEA
mathematics and computing applied to oceanic and atmospheric flows
Research centre: Grenoble - Rhône-Alpes
In partnership with: Université de Grenoble Alpes

In collaboration with: Laboratoire Jean Kuntzmann (LJK)



Field: Digital Health, Biology and Earth

Theme: Earth, Environmental and Energy Sciences
Keywords:
Computer Science and Digital Science:
  • A3.1.8. - Big data (production, storage, transfer)
  • A3.4.1. - Supervised learning
  • A3.4.2. - Unsupervised learning
  • A3.4.5. - Bayesian methods
  • A3.4.7. - Kernel methods
  • A6.1.1. - Continuous Modeling (PDE, ODE)
  • A6.1.2. - Stochastic Modeling
  • A6.1.4. - Multiscale modeling
  • A6.1.5. - Multiphysics modeling
  • A6.2.1. - Numerical analysis of PDE and ODE
  • A6.2.4. - Statistical methods
  • A6.2.6. - Optimization
  • A6.2.7. - High performance computing
  • A6.3.1. - Inverse problems
  • A6.3.2. - Data assimilation
  • A6.3.4. - Model reduction
  • A6.3.5. - Uncertainty Quantification
  • A6.5.2. - Fluid mechanics
  • A6.5.4. - Waves
Other Research Topics and Application Domains:
  • B3.2. - Climate and meteorology
  • B3.3.2. - Water: sea & ocean, lake & river
  • B3.3.4. - Atmosphere
  • B3.4.1. - Natural risks
  • B4.3.2. - Hydro-energy
  • B4.3.3. - Wind energy
  • B9.11.1. - Environmental risks